Open willmil11 opened 8 months ago
Please help me :(
What do i do i just wanna chat with LaMDA :(
Hi @willmil11
Thanks for sharing traceback and log.
Traceback (most recent call last):
File "/home/vscode/lamda/LaMDA-rlhf-pytorch/train.py", line 4, in
from colossalai.core import global_context as gpc
ModuleNotFoundError: No module named 'colossalai.core'
I believe that the problem with colossalai
or of your Python compatibility with this package.
You can try to reproduce this issue using ipython / python and importing
from colossalai.core import global_context as gpc
If the colossalai 0.3.5
that you have is compatible with your Python, then I would recommend to manually downgrade the colossai
Hi @nicolay-r thanks for your quick response but i still have a question
To what version to I downgrade colossalai, how do i do that and lastly. Will i be able to directly chat with lamda after the training is complete? How?
@willmil11, I did not experiment with LaMDA with this project since I was not able to launch training (GoogleColab). That was almost a year ago. If anything related to the LORA and parameter efficient tunning since that time has been changed, then it is worth to try. You may try to lauch and act by relying on loss
during trainng process as well as the overall training time it takes.
As for colossalai
, you may have a look available versions: https://pypi.org/project/colossalai/#history
The quickest way I believe is to manually try downgrate to the most recent prior version and so on
Another option is to check wether the colossalai
is actually works with unittests and related examples.
@nicolay-r I see what you're saying but I still don't understand what version of colossalai you suggest me to downgrade to (do you want me to try them all [there are hundreds on the GitHub page but only about 10 on pypi.org])
@willmil11 , I mean releases from PyPI: https://pypi.org/project/colossalai/#history
I can' t recommend in your particular case since there might be other dependency ruies.
So that you can try out with 0.3.4
and then down to 0.3.0
@willmil11, did the version switching sorted out the issue?
@nicolay-r 0.3.4 said that colossalai.core doesnt exist and 0.3.0 said:
Traceback (most recent call last):
File "/home/vscode/lamda/LaMDA-rlhf-pytorch/train.py", line 3, in <module>
import colossalai
File "/usr/local/lib/python3.11/dist-packages/colossalai/__init__.py", line 1, in <module>
from .initialize import (
File "/usr/local/lib/python3.11/dist-packages/colossalai/initialize.py", line 18, in <module>
from colossalai.amp import AMP_TYPE, convert_to_amp
File "/usr/local/lib/python3.11/dist-packages/colossalai/amp/__init__.py", line 8, in <module>
from colossalai.context import Config
File "/usr/local/lib/python3.11/dist-packages/colossalai/context/__init__.py", line 4, in <module>
from .moe_context import MOE_CONTEXT
File "/usr/local/lib/python3.11/dist-packages/colossalai/context/moe_context.py", line 8, in <module>
from colossalai.tensor import ProcessGroup
File "/usr/local/lib/python3.11/dist-packages/colossalai/tensor/__init__.py", line 2, in <module>
from .colo_parameter import ColoParameter
File "/usr/local/lib/python3.11/dist-packages/colossalai/tensor/colo_parameter.py", line 5, in <module>
from colossalai.tensor.colo_tensor import ColoTensor
File "/usr/local/lib/python3.11/dist-packages/colossalai/tensor/colo_tensor.py", line 11, in <module>
from colossalai.tensor.tensor_spec import ColoTensorSpec
File "/usr/local/lib/python3.11/dist-packages/colossalai/tensor/tensor_spec.py", line 10, in <module>
@dataclass
^^^^^^^^^
File "/usr/lib/python3.11/dataclasses.py", line 1220, in dataclass
return wrap(cls)
^^^^^^^^^
File "/usr/lib/python3.11/dataclasses.py", line 1210, in wrap
return _process_class(cls, init, repr, eq, order, unsafe_hash,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.11/dataclasses.py", line 958, in _process_class
cls_fields.append(_get_field(cls, name, type, kw_only))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.11/dataclasses.py", line 815, in _get_field
raise ValueError(f'mutable default {type(f.default)} for field '
ValueError: mutable default <class 'colossalai.tensor.distspec._DistSpec'> for field dist_attr is not allowed: use default_factory
lemme try previous versions...
Tried 0.3.0 to 0.2.0 which is the oldest version available on pip didnt work, same error
And heres what i get if i run it with colossalai command:
root@rpi4-20220808:/home/vscode/lamda/LaMDA-rlhf-pytorch# colossalai run --nproc_per_node 1 train.py
Traceback (most recent call last):
File "/usr/local/bin/colossalai", line 5, in <module>
from colossalai.cli import cli
File "/usr/local/lib/python3.11/dist-packages/colossalai/__init__.py", line 1, in <module>
from .initialize import (
File "/usr/local/lib/python3.11/dist-packages/colossalai/initialize.py", line 18, in <module>
from colossalai.amp import AMP_TYPE, convert_to_amp
File "/usr/local/lib/python3.11/dist-packages/colossalai/amp/__init__.py", line 8, in <module>
from colossalai.context import Config
File "/usr/local/lib/python3.11/dist-packages/colossalai/context/__init__.py", line 4, in <module>
from .moe_context import MOE_CONTEXT
File "/usr/local/lib/python3.11/dist-packages/colossalai/context/moe_context.py", line 8, in <module>
from colossalai.tensor import ProcessGroup
File "/usr/local/lib/python3.11/dist-packages/colossalai/tensor/__init__.py", line 2, in <module>
from .colo_parameter import ColoParameter
File "/usr/local/lib/python3.11/dist-packages/colossalai/tensor/colo_parameter.py", line 5, in <module>
from colossalai.tensor.colo_tensor import ColoTensor
File "/usr/local/lib/python3.11/dist-packages/colossalai/tensor/colo_tensor.py", line 11, in <module>
from colossalai.tensor.tensor_spec import ColoTensorSpec
File "/usr/local/lib/python3.11/dist-packages/colossalai/tensor/tensor_spec.py", line 10, in <module>
@dataclass
^^^^^^^^^
File "/usr/lib/python3.11/dataclasses.py", line 1220, in dataclass
return wrap(cls)
^^^^^^^^^
File "/usr/lib/python3.11/dataclasses.py", line 1210, in wrap
return _process_class(cls, init, repr, eq, order, unsafe_hash,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.11/dataclasses.py", line 958, in _process_class
cls_fields.append(_get_field(cls, name, type, kw_only))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/lib/python3.11/dataclasses.py", line 815, in _get_field
raise ValueError(f'mutable default {type(f.default)} for field '
ValueError: mutable default <class 'colossalai.tensor.distspec._DistSpec'> for field dist_attr is not allowed: use default_factory
Hi @willmil11! You need to try out other versions down from 0.3.4
as well.
For example 0.3.3
does not have the issue with the core
in Python 3.10.12
, so you may switch to this.
Notebook: https://colab.research.google.com/drive/1x2KrBCR1pAd5Huk6qCMmPlq8SyQDGdes?usp=sharing
In tems of you most recent exception, I believe the most recent python (3.11+) is not compatible: https://github.com/python/cpython/issues/99401
@nicolay-r The latest version of python is not compatible? You could have begun with that lemme try with the one you specified..
Hi so i tell you the problem: i clone the repo i cd into it i run python3 train.py i get dependencies errors i go to repo isssue tab i see the requirement.txt issue i go there i see the list of required package to run this by a random guy i pip install those i rerun i get this: Traceback (most recent call last): File "/home/vscode/lamda/LaMDA-rlhf-pytorch/train.py", line 4, in
from colossalai.core import global_context as gpc
ModuleNotFoundError: No module named 'colossalai.core'
Im on debian using the latest version of python, i use system wide installed packages with pip. i tried with venv it didnt work better.
pip list returns: Package Version
aiohttp 3.9.3 aiosignal 1.3.1 annotated-types 0.6.0 appdirs 1.4.4 attrs 23.2.0 bcrypt 4.1.2 beautifulsoup4 4.12.3 certifi 2022.9.24 cffi 1.16.0 cfgv 3.4.0 chardet 5.1.0 charset-normalizer 3.0.1 click 8.1.7 colossalai 0.3.5 contexttimer 0.3.3 cryptography 38.0.4 cupshelpers 1.0 datasets 2.17.0 dbus-python 1.3.2 debtcollector 2.5.0 decorator 5.1.1 Deprecated 1.2.13 dill 0.3.8 distlib 0.3.8 distro 1.8.0 docker-pycreds 0.4.0 docutils 0.19 einops 0.7.0 fabric 3.2.2 filelock 3.13.1 frozenlist 1.4.1 fsspec 2023.10.0 gitdb 4.0.11 GitPython 3.1.41 google 3.0.0 greenlet 2.0.2 huggingface-hub 0.20.3 identify 2.5.34 idna 3.3 importlib-metadata 4.12.0 invoke 2.2.0 iso8601 1.0.2 Jinja2 3.1.3 jsonschema 4.21.1 jsonschema-specifications 2023.12.1 jwcrypto 1.1 markdown-it-py 3.0.0 MarkupSafe 2.1.5 mdurl 0.1.2 more-itertools 8.10.0 mpmath 1.3.0 msgpack 1.0.3 multidict 6.0.5 multiprocess 0.70.16 netaddr 0.8.0 netifaces 0.11.0 networkx 3.2.1 ninja 1.11.1.1 nodeenv 1.8.0 numpy 1.24.2 olefile 0.46 oslo.config 9.0.0 oslo.context 5.0.0 oslo.i18n 5.1.0 oslo.log 5.0.1 oslo.serialization 5.0.0 oslo.utils 6.0.1 packaging 23.0 pandas 2.2.0 paramiko 3.4.0 pbr 5.10.0 Pillow 9.4.0 pip 23.0.1 platformdirs 4.2.0 pre-commit 3.6.1 protobuf 4.25.2 psutil 5.9.4 pyarrow 15.0.0 pyarrow-hotfix 0.6 pycairo 1.20.1 pycparser 2.21 pycups 2.0.1 pydantic 2.6.1 pydantic_core 2.16.2 Pygments 2.14.0 PyGObject 3.42.2 pyinotify 0.9.6 PyNaCl 1.5.0 pynvim 0.4.2 pyparsing 3.0.9 pysmbc 1.0.23 python-dateutil 2.8.2 python-novnc 1.0.0 pytz 2022.7.1 PyYAML 6.0 ray 2.9.2 referencing 0.33.0 regex 2023.12.25 requests 2.28.1 rfc3986 1.5.0 rich 13.7.0 roman 3.3 rpds-py 0.17.1 safetensors 0.4.2 sentencepiece 0.1.99 sentry-sdk 1.40.3 setproctitle 1.3.3 setuptools 66.1.1 six 1.16.0 smmap 5.0.1 soupsieve 2.5 stevedore 4.0.2 sympy 1.12 tokenizers 0.15.1 torch 2.2.0 tqdm 4.66.2 transformers 4.37.2 typing_extensions 4.9.0 tzdata 2023.4 urllib3 1.26.12 virtualenv 20.25.0 wandb 0.16.3 websockify 0.10.0 wheel 0.38.4 wrapt 1.14.1 xxhash 3.4.1 yarl 1.9.4 zipp 1.0.0